示例#1
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 def _get_job_words(self, alpha, work, job, neu1):
     if self.sg:
         return sum(
             train_sentence_sg(self, sentence, alpha, work)
             for sentence in job)
     else:
         return sum(
             train_sentence_cbow(self, sentence, alpha, work, neu1)
             for sentence in job)
示例#2
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        def worker_train():
            """Train the model, lifting lists of sentences from the jobs queue."""
            work = zeros(self.layer1_size, dtype=REAL)  # each thread must have its own work memory
            neu1 = matutils.zeros_aligned(self.layer1_size, dtype=REAL)

            while True:
                job = jobs.get()
                if job is None:  # data finished, exit
                    break
                # update the learning rate before every job
                alpha = max(self.min_alpha, self.alpha * (1 - 1.0 * word_count[0] / total_words))
                # how many words did we train on? out-of-vocabulary (unknown) words do not count
                if self.sg:
                    job_words = sum(train_sentence_sg(self, sentence, alpha, work) for sentence in job)
                else:
                    job_words = sum(train_sentence_cbow(self, sentence, alpha, work, neu1) for sentence in job)
                with lock:
                    word_count[0] += job_words
                    elapsed = time.time() - start
                    if elapsed >= next_report[0]:
                        logger.info("PROGRESS: at %.2f%% words, alpha %.05f, %.0f words/s" %
                            (100.0 * word_count[0] / total_words, alpha, word_count[0] / elapsed if elapsed else 0.0))
                        next_report[0] = elapsed + 1.0  # don't flood the log, wait at least a second between progress reports
示例#3
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 def _get_job_words(self, alpha, work, job, neu1):
     if self.sg:
         return sum(train_sentence_sg(self, sentence, alpha, work) for sentence in job)
     else:
         return sum(train_sentence_cbow(self, sentence, alpha, work, neu1) for sentence in job)